光学学报, 2019, 39 (2): 0228003, 网络出版: 2019-05-10   

基于谐波分析算法的干旱区绿洲土壤光谱特性研究 下载: 984次

Spectral Characteristics of Oasis Soil in Arid Area Based on Harmonic Analysis Algorithm
张子鹏 1,2,3,*丁建丽 1,2,3,*王敬哲 1,2,3
作者单位
1 新疆大学资源与环境科学学院, 新疆 乌鲁木齐 830046
2 新疆大学绿洲生态教育部重点实验室, 新疆 乌鲁木齐 830046
3 新疆大学智慧城市与环境建模自治区普通高校重点实验室, 新疆 乌鲁木齐 830046
图 & 表

图 1. 研究区采样图

Fig. 1. Research area sampling chart

下载图片 查看原文

图 2. SOM含量估算的流程图

Fig. 2. Flow chart of SOM content estimation

下载图片 查看原文

图 3. 原始光谱、FD光谱与SOM含量的相关性曲线

Fig. 3. Correlation curves of original spectrum, FD spectrum and SOM content

下载图片 查看原文

图 4. 不同HA次数下谐波分量与SOM含量的相关系数图。(a)(e)(i)(m) At与SOM的相关系数;(b)(f)(j)(n) Bt与SOM的相关系数;(c)(g)(k)(o) Ct与SOM的相关系数;(d)(h)(l)(p) φt与SOM的相关系数

Fig. 4. Correlation coefficient diagrams of harmonic component and SOM content at different HA times. (a)(e)(i)(m) Correlation coefficient of At and SOM content; (b)(f)(j)(n) correlation coefficient of Bt and SOM content; (c)(g)(k)(o) correlation coefficient of Ct and SOM content; (d)(h)(l)(p) correlation coefficient of φt and SOM content

下载图片 查看原文

图 5. GA-BP神经网络的技术路线

Fig. 5. Technology roadmap of GA-BP neural network

下载图片 查看原文

图 6. 最优个体的适应度变化曲线

Fig. 6. Changing curve of optimal individual fitness

下载图片 查看原文

图 7. 不同模型SOM含量的实测值与估算值。(a) MLR模型; (b) BP模型; (c) GA-BP模型

Fig. 7. Measured and estimated SOM content for different models. (a) MLR model; (b) BP model; (c) GA-BP model

下载图片 查看原文

表 1SOM含量的统计特征

Table1. Statistical characteristics of SOM content

Type of samplesNumber of sampleSOM content (mass fraction) /10-3Standard deviation /10-3Coefficient of variation /%
MinimumMaximumMean
Whole set1012.3218.0610.943.4531.51
Calibration set713.6818.0610.913.4531.61
Validation set302.3216.4511.043.5131.79

查看原文

表 2不同HA次数下At与SOM含量的相关系数统计特征

Table2. Statistical characteristics of correlation coefficients between At and SOM content at different HA times

Harmonic decomposition timesMaximum positive correlation coefficientHarmonic characteristic componentMaximum negative correlation coefficientHarmonic characteristic component
5000.577-0.541
10000.577-0.541
15000.577-0.541
20000.577,1993-0.541,1999
25000.577,1993,2007-0.541,1999,2001
30000.577,1993,2007-0.541,1999,2001
35000.577,1993,2007-0.541,1999,2001
40000.577,1993,2007,3993-0.541,1999,2001,3999

查看原文

表 3不同HA次数下Bt与SOM含量的相关系数统计特征

Table3. Statistical characteristics of correlation coefficient between Bt and SOM content at different HA times

Harmonic decomposition timesMaximum positive correlation coefficientHarmonic characteristic componentMaximum negative correlation coefficientHarmonic characteristic component
5000.5421-0.514
10000.5421-0.514
15000.5421-0.514
20000.5421-0.511979
25000.5421,2021-0.511979
30000.5421,2021-0.511979
35000.5421,2021-0.511979
40000.5421,2021-0.511979,3979

查看原文

表 4不同HA次数下Ct与SOM含量的相关系数统计特征

Table4. Statistical characteristics of correlation coefficient between Ct and SOM content at different HA times

Harmonic decomposition timesMaximum positive correlation coefficientHarmonic characteristic componentMaximum negative correlation coefficientHarmonic characteristic component
5000.471-0.566
10000.471-0.566
15000.471-0.566
20000.471,1999-0.566,1994
25000.471,1999,2001-0.566,1994,2006
30000.471,1999,2001-0.566,1994,2006
35000.471,1999,2001-0.566,1994,2006
40000.471,1999,2001,3999-0.566,1994,2006,3994

查看原文

表 5不同HA次数下φt与SOM含量的相关系数统计特征

Table5. Statistical characteristics of correlation coefficient between φt and SOM content at different HA times

Harmonic decomposition timesMaximum positive correlation coefficientHarmonic characteristic componentMaximum negative correlation coefficientHarmonic characteristic component
5000.3068-0.3020
10000.3068-0.32532
15000.3068-0.32532
20000.321468-0.32532
25000.321468-0.32532
30000.321468-0.32532,2532
35000.321468,3468-0.32532,2532
40000.321468,3468-0.32532,2532

查看原文

表 6PCA特征值和方差贡献率

Table6. Characteristic value of PCA and variance contribution rate

Principle componentCharacteristic valueVariance contribution /%Accumulative contribution /%
PCA116.3377.8077.80
PCA21.456.9184.71
PCA31.095.1989.90
PCA40.914.3494.24
PCA50.522.5896.82
PCA60.261.4398.25
PCA70.160.8899.13
PCA21-3.13×10-16-1.49×10-15100

查看原文

表 7不同估算模型的精度统计结果

Table7. Accuracy statistical results of different estimate models

Validation modelR2RMSEP /10-3RPD
MLR0.774.761.59
BP0.874.071.85
GA-BP0.923.921.93

查看原文

张子鹏, 丁建丽, 王敬哲. 基于谐波分析算法的干旱区绿洲土壤光谱特性研究[J]. 光学学报, 2019, 39(2): 0228003. Zipeng Zhang, Jianli Ding, Jingzhe Wang. Spectral Characteristics of Oasis Soil in Arid Area Based on Harmonic Analysis Algorithm[J]. Acta Optica Sinica, 2019, 39(2): 0228003.

本文已被 3 篇论文引用
被引统计数据来源于中国光学期刊网
引用该论文: TXT   |   EndNote

相关论文

加载中...

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!